Summary of Controlled Query Evaluation Through Epistemic Dependencies, by Gianluca Cima et al.
Controlled Query Evaluation through Epistemic Dependencies
by Gianluca Cima, Domenico Lembo, Lorenzo Marconi, Riccardo Rosati, Domenico Fabio Savo
First submitted to arxiv on: 3 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed framework uses epistemic dependencies to express data protection policies in Controlled Query Evaluation (CQE), offering richer forms of data protection rules than existing literature. This medium-difficulty summary highlights the paper’s contributions, including a novel policy language and query rewriting algorithm for tractability. The framework is shown to be expressive and has implications for confidentiality-preserving query answering over ontologies and databases. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper introduces a new way to protect data in large databases using special rules called epistemic dependencies. It’s like building a safe box around the information, so only authorized people can access it. The method is useful for keeping confidential data private, especially when there are many different types of information and rules to follow. |
